seed_system_dynamics_model_info
Returns governing mathematical equations, assumptions, and version boundaries.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Returns governing mathematical equations, assumptions, and version boundaries.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
No schema history has been recorded yet.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. "Returns" implies a read, but there is no confirmation of read-only semantics, no side-effect disclosure, and no output schema to fall back on. It only hints at the shape of the payload (equations, assumptions, version boundaries) without stating privilege needs, cost, or whether a model must already exist.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single eight-word sentence that is front-loaded with the verb and lists the payload. It is efficient with no filler, though the terseness shades into under-specification rather than crisp completeness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool this is nearly viable, and the description does enumerate the three content groups returned, partially covering the absent output schema. But with no annotations and no output schema, it should also convey read-only safety and when in a workflow to call it, which it does not.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, which is the baseline-4 case. The description correctly implies a no-argument global metadata retrieval, and there is no parameter semantics to mis-specify.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The verb+resource is identifiable ("Returns governing mathematical equations, assumptions, and version boundaries"), so an agent knows roughly what comes back. However, it reads as a list of payload contents rather than a statement of purpose, and it never distinguishes this metadata getter from the six action-oriented siblings (compare, diagnose, optimize, simulate, stability, sweep).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no when-to-use guidance and no mention of any sibling as an alternative. The agent must infer from the name alone that this is the inspection step preceding or explaining a simulation. Nothing is misleading, but nothing is offered either.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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